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IJIIDS
2007
57views more  IJIIDS 2007»
15 years 1 months ago
Evaluating learning algorithms and classifiers
: We analyse 18 evaluation methods for learning algorithms and classifiers, and show how to categorise these methods with the help of an evaluation method taxonomy based on several...
Niklas Lavesson, Paul Davidsson
COLING
2002
15 years 1 months ago
Learning Question Classifiers
In order to respond correctly to a free form factual question given a large collection of texts, one needs to understand the question to a level that allows determining some of th...
Xin Li, Dan Roth
CIKM
2008
Springer
15 years 3 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
119
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ICPR
2010
IEEE
15 years 6 months ago
Microaneurysm (MA) Detection Via Sparse Representation Classifier with MA and Non-MA Dictionary Learning
Diabetic retinopathy (DR) is a common complication of diabetes that damages the retina and leads to sight loss if treated late. In its earliest stage, DR can be diagnosed by microa...
Bob Zhang, Lei Zhang, Jane You, Fakhri Karray
AAAI
1998
15 years 3 months ago
Learning to Classify Text from Labeled and Unlabeled Documents
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...